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- W2382270645 abstract "A model of rough wavelet neural network classifiers is proposed.The rough set theory is used to acquire the knowledge of classification,which includes decision table construction,attribute discretization,attribute reduction and attribute's value education.The rough wavelet neural network classifier is established according to the reduced attributes,the attribute's value education.The proposed classifier has better abilities of antidisturbance and generalization and can simplify the structure of the neural network and speed up the training rate of the network.The steps of applying this classifier to recognition of intrusion data and the results are described in the computer simulation experiments." @default.
- W2382270645 created "2016-06-24" @default.
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- W2382270645 date "2011-01-01" @default.
- W2382270645 modified "2023-09-24" @default.
- W2382270645 title "A Rough Wavelet Neural Network Classifier and its Application" @default.
- W2382270645 hasPublicationYear "2011" @default.
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